Articles about Generative AI

Generative AI is making its presence felt in more and more areas, but there are well-founded concerns about the accuracy of information that it provides.

Is it possible to provide the convenience of a large language model AI system, with the logic and accuracy of advanced analytics? Arina Curtis, CEO and co-founder of DataGPT, thinks so. We spoke to her to find out more.

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With many countries around the world holding elections this year, Tidal Cyber has released a new report looking at the threats to global elections and offering insights on prioritizing defenses against top adversaries and election interference tactics, techniques, and behaviors.

The report identifies the top ten countries facing the highest election cyber interference threats this year as: the US, the UK, South Korea, India, Belgium, Pakistan, Belarus, Mexico, Georgia, and Indonesia.

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A new report from software engineering specialist LinearB looks at the effects of generative AI on code creation and delivery.

Gen AI is predicted to generate one in five lines of code by the end of this year and the study of over 150 tech leaders sets out to understand how organizations can measure the effects of Gen AI on their code.

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New research reveals that that most organizations are limiting the use of generative AI over data privacy and security issues, and 27 percent have banned its use, at least temporarily.

The study from Cisco surveyed 2,600 privacy and security professionals and finds that among concerns cited are threats to an organization's legal and Intellectual Property rights (69 percent), and the risk of disclosure of information to the public or competitors (68 percent).

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A new report from Barracuda Networks and the Ponemon Institute looks at 'cybernomics' -- the financial forces that are driving cyberattacks.

Based on a survey of over 1,900 IT security practitioners it finds the average annual cost to respond to compromises is a startling $5.34 million.

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Generative AI models like ChatGPT are creating a lot of enthusiasm for what they can do for businesses, but they are generating just as much fear over what can go wrong with the data they handle. There is a lack of trust between large companies that have the data and the AI startups that want to use them.

What can we expect to see in the near future? We spoke with Katy Salamati, senior manager of the advanced analytics lifecycle at SAS, to find out.

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Generative artificial intelligence (GenAI) entered the public consciousness and debate about one year ago. As a science, it goes back several years but as an applicable piece of software, it is very much in its infancy. 

Text, images, and audio can be generated by GenAI models,but their integration into existing software tools worldwide is still in its early stages. Similarly, the majority of business leaders are only talking about GenAI, with some experimenting through proofs of concepts, while a small minority have deployed initial, and usually specific, use cases.

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The use of generative AI is becoming common across many industries, but while it undoubtedly offers benefits it can lead to problems too.

Legal firms in particular can fall foul of poor results, one firm was fined $5,000 after a court found that one of its lawyers had used ChatGPT to write a court brief which included false citations.

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Microsoft has announced a series of new artificial intelligence tools, options and capabilities which the company is using to empower retailers.

From copilot templates designed to help retailers provide personalized experiences for customers to generative AI tools for creating ads, Microsoft continues to push hard with AI. Of particular interest in the latest batch of tools is Retail Media Creative Studio, currently in preview.

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More than 10 percent of enterprise employees access at least one generative AI application every month, compared to just two percent a year ago, but there are security risks as a result.

New research from Netskope shows ChatGPT was the most popular generative AI application in 2023, accounting for seven percent of enterprise usage. The number of cloud apps the enterprise accessed also increased by an average of 19 percent per year, with users jumping from 14 to 20 different apps in just two years.

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Generative AI has the potential to reshape entire industries and how they operate, and financial services stand out as uniquely poised for AI-driven transformation. McKinsey & Company calls generative AI the next frontier for productivity, estimating that analyzing natural language text -- a core generative AI use case -- accounts for an average of 25 percent of the time people spend in any given enterprise.

The finance industry is a data-driven industry, so it’s no surprise that finance sector firms see big potential in using generative AI to tackle use cases that require assessing enormous amounts of unstructured data, such as company due diligence, know-your-customer (KYC) requirements, sustainability research, and controversy monitoring.

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The ChatGPT Revolution is the ultimate quick-start guide to unlocking the power of AI tool ChatGPT. We’re on the edge of an AI revolution… but what does that mean for you? It’s time to get curious about how the latest tech can help you handle your everyday load, at work and at home!

Whether you’re overwhelmed by repetitive, time-consuming tasks or you’re simply looking for a fresh injection of creativity, ChatGPT is the virtual assistant that’s got your back.

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AI’s path to maturity lacks footing without the stamp of regulation. While the recent developments of the White House executive order and the EU AI Act are a good start, there’s a lot of progress to be made in terms of AI research and rule-making. Because if we want to unlock the full range of AI use cases, we’re going to need precise regulation, tailored to the unique needs of each sector.

Generative AI sparks an opportunity to transform every industry; a prospect that has prompted a flurry of AI innovation across verticals that will undoubtedly send ripple effects throughout the economy. McKinsey estimates that across 63 different use cases, generative AI could contribute between $2.6 trillion to $4.4 trillion to the global economy annually. But sector and use-case-specific regulatory framework is imperative if we want to harness this potential and ensure responsible, safe applications of generative AI.

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Numerous businesses have embraced generative AI technology to enhance their operational efficiency, boost productivity and foster innovative ideas.

However, it is important to be aware of the potential legal and financial consequences associated with the use of ChatGPT and similar AI systems. We spoke to Sujay Rao, CPO at Sirion to find out more.

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Following a year full of excitement and uncertainty, and more opinions about the future of AI than anyone could count, AI providers, enterprises, and policymakers are now rallying around one thing: AI security. 

The White House recently followed in the European Union’s footsteps to introduce a new set of standards for the secure development and deployment of AI models. But while regulators triangulate their policies and AI companies work to comply, the real responsibility to proceed safely will remain with enterprises. 

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